{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=4 color=gray>  week06 柱状图交互可视化 </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=6 color=black> 上周知识点总结 </font>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 时间序列（Time series）\n",
    " * 时间数据处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "aapl_dates=np.array(AAPL[\"date\"],dtype=np.datetime64)\n",
    "aapl_dates\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  画布准备之：TOOLTIPS（交互式数据显示）\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "TOOLTIPS = [\n",
    "    (\"提示的文字\", \"@提示的数据\"),\n",
    "    (\"high\", \"@appl_high_data\")\n",
    "]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=6 color=black> 上周知识点总结 </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\": \"kLr4fYcqcSpbuI95brIH3vnnYCquzzSxHPU6XGQCIkQRGJwhg0StNbj1eegrHs12\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\": \"xIGPmVtaOm+z0BqfSOMn4lOR6ciex448GIKG4eE61LsAvmGj48XcMQZtKcE/UXZe\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\": \"Dc9u1wF/0zApGIWoBbH77iWEHtdmkuYWG839Uzmv8y8yBLXebjO9ZnERsde5Ln/P\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\": \"cT9JaBz7GiRXdENrJLZNSC6eMNF3nh3fa5fTF51Svp+ukxPdwcU5kGXGPBgDCa2j\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\": \"kLr4fYcqcSpbuI95brIH3vnnYCquzzSxHPU6XGQCIkQRGJwhg0StNbj1eegrHs12\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\": \"xIGPmVtaOm+z0BqfSOMn4lOR6ciex448GIKG4eE61LsAvmGj48XcMQZtKcE/UXZe\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\": \"Dc9u1wF/0zApGIWoBbH77iWEHtdmkuYWG839Uzmv8y8yBLXebjO9ZnERsde5Ln/P\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\": \"cT9JaBz7GiRXdENrJLZNSC6eMNF3nh3fa5fTF51Svp+ukxPdwcU5kGXGPBgDCa2j\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.1.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure,output_notebook,show\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 垂直柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"3743c060-bef4-4426-9aaa-74d64e0d2f6d\" data-root-id=\"1002\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"e1c02b20-889b-4efd-9167-581b204454dc\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1011\"}],\"center\":[{\"id\":\"1014\"},{\"id\":\"1018\"}],\"left\":[{\"id\":\"1015\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"1036\"}],\"title\":{\"id\":\"1038\"},\"toolbar\":{\"id\":\"1026\"},\"x_range\":{\"id\":\"1003\"},\"x_scale\":{\"id\":\"1007\"},\"y_range\":{\"id\":\"1005\"},\"y_scale\":{\"id\":\"1009\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1038\",\"type\":\"Title\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"red\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"red\"},\"top\":{\"field\":\"top\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"1035\",\"type\":\"VBar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1019\"},{\"id\":\"1020\"},{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"}]},\"id\":\"1026\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1020\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1003\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1040\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"formatter\":{\"id\":\"1042\"},\"ticker\":{\"id\":\"1016\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_color\":{\"value\":\"red\"},\"line_color\":{\"value\":\"red\"},\"top\":{\"field\":\"top\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"1034\",\"type\":\"VBar\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1005\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"HelpTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1025\"}},\"id\":\"1021\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1042\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"SaveTool\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1025\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1023\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1044\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"top\":[1.2,3.4,5.6],\"x\":[1,2,3]},\"selected\":{\"id\":\"1044\"},\"selection_policy\":{\"id\":\"1045\"}},\"id\":\"1033\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1016\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1019\",\"type\":\"PanTool\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"dimension\":1,\"ticker\":null},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"1033\"}},\"id\":\"1037\",\"type\":\"CDSView\"},{\"attributes\":{\"formatter\":{\"id\":\"1040\"},\"ticker\":{\"id\":\"1012\"}},\"id\":\"1011\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1033\"},\"glyph\":{\"id\":\"1034\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1035\"},\"selection_glyph\":null,\"view\":{\"id\":\"1037\"}},\"id\":\"1036\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis\":{\"id\":\"1011\"},\"ticker\":null},\"id\":\"1014\",\"type\":\"Grid\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
       "  var render_items = [{\"docid\":\"e1c02b20-889b-4efd-9167-581b204454dc\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"3743c060-bef4-4426-9aaa-74d64e0d2f6d\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画布\n",
    "\n",
    "p = figure(plot_width=400,plot_height=400)\n",
    "\n",
    "p.vbar(\n",
    "   x=[1,2,3],\n",
    "   width=0.5,\n",
    "   bottom=0,\n",
    "   top=[1.2,3.4,5.6],\n",
    "   color=\"red\")\n",
    "show(p)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method vbar in module bokeh.plotting.figure:\n",
      "\n",
      "vbar(x, width, top, bottom=0, *, fill_alpha=1.0, fill_color='gray', hatch_alpha=1.0, hatch_color='black', hatch_extra={}, hatch_pattern=None, hatch_scale=12.0, hatch_weight=1.0, line_alpha=1.0, line_cap='butt', line_color='black', line_dash=[], line_dash_offset=0, line_join='bevel', line_width=1, name=None, tags=[], **kwargs) method of bokeh.plotting.figure.Figure instance\n",
      "    Configure and add :class:`~bokeh.models.glyphs.VBar` glyphs to this Figure.\n",
      "    \n",
      "    Args:\n",
      "        x (:class:`~bokeh.core.properties.NumberSpec` ):\n",
      "            The x-coordinates of the centers of the vertical bars.\n",
      "    \n",
      "        width (:class:`~bokeh.core.properties.NumberSpec` ):\n",
      "            The widths of the vertical bars.\n",
      "    \n",
      "        top (:class:`~bokeh.core.properties.NumberSpec` ):\n",
      "            The y-coordinates of the top edges.\n",
      "    \n",
      "        bottom (:class:`~bokeh.core.properties.NumberSpec` ):\n",
      "            The y-coordinates of the bottom edges.\n",
      "    \n",
      "            (default: 0)\n",
      "    \n",
      "    \n",
      "    Keyword args:\n",
      "        fill_alpha (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The fill alpha values for the vertical bars.\n",
      "    \n",
      "            (default: 1.0)\n",
      "    \n",
      "        fill_color (:class:`~bokeh.core.properties.ColorSpec` , optional):\n",
      "            The fill color values for the vertical bars.\n",
      "    \n",
      "            (default: gray)\n",
      "    \n",
      "        hatch_alpha (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The hatch alpha values for the vertical bars.\n",
      "    \n",
      "            (default: 1.0)\n",
      "    \n",
      "        hatch_color (:class:`~bokeh.core.properties.ColorSpec` , optional):\n",
      "            The hatch color values for the vertical bars.\n",
      "    \n",
      "            (default: black)\n",
      "    \n",
      "        hatch_extra (:class:`~bokeh.core.properties.Dict` ( :class:`~bokeh.core.properties.String` , :class:`~bokeh.core.properties.Instance` ( :class:`~bokeh.models.textures.Texture`  ) )):\n",
      "            The hatch extra values for the vertical bars.\n",
      "    \n",
      "            (default: {})\n",
      "    \n",
      "        hatch_pattern (:class:`~bokeh.core.properties.HatchPatternSpec` ):\n",
      "            The hatch pattern values for the vertical bars.\n",
      "    \n",
      "        hatch_scale (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The hatch scale values for the vertical bars.\n",
      "    \n",
      "            (default: 12.0)\n",
      "    \n",
      "        hatch_weight (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The hatch weight values for the vertical bars.\n",
      "    \n",
      "            (default: 1.0)\n",
      "    \n",
      "        line_alpha (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The line alpha values for the vertical bars.\n",
      "    \n",
      "            (default: 1.0)\n",
      "    \n",
      "        line_cap (:class:`~bokeh.core.properties.Enum` ( :class:`~bokeh.core.enums.LineCap`  ), optional):\n",
      "            The line cap values for the vertical bars.\n",
      "    \n",
      "            (default: butt)\n",
      "    \n",
      "        line_color (:class:`~bokeh.core.properties.ColorSpec` , optional):\n",
      "            The line color values for the vertical bars.\n",
      "    \n",
      "            (default: black)\n",
      "    \n",
      "        line_dash (:class:`~bokeh.core.properties.DashPattern` ):\n",
      "            The line dash values for the vertical bars.\n",
      "    \n",
      "            (default: [])\n",
      "    \n",
      "        line_dash_offset (:class:`~bokeh.core.properties.Int` ):\n",
      "            The line dash offset values for the vertical bars.\n",
      "    \n",
      "            (default: 0)\n",
      "    \n",
      "        line_join (:class:`~bokeh.core.properties.Enum` ( :class:`~bokeh.core.enums.LineJoin`  ), optional):\n",
      "            The line join values for the vertical bars.\n",
      "    \n",
      "            (default: bevel)\n",
      "    \n",
      "        line_width (:class:`~bokeh.core.properties.NumberSpec` , optional):\n",
      "            The line width values for the vertical bars.\n",
      "    \n",
      "            (default: 1)\n",
      "    \n",
      "        name (:class:`~bokeh.core.properties.String` ):\n",
      "            An arbitrary, user-supplied name for this model.\n",
      "        \n",
      "            This name can be useful when querying the document to retrieve specific\n",
      "            Bokeh models.\n",
      "        \n",
      "            .. code:: python\n",
      "        \n",
      "                >>> plot.circle([1,2,3], [4,5,6], name=\"temp\")\n",
      "                >>> plot.select(name=\"temp\")\n",
      "                [GlyphRenderer(id='399d53f5-73e9-44d9-9527-544b761c7705', ...)]\n",
      "        \n",
      "            .. note::\n",
      "                No uniqueness guarantees or other conditions are enforced on any names\n",
      "                that are provided, nor is the name used directly by Bokeh for any\n",
      "                reason.\n",
      "    \n",
      "        tags (:class:`~bokeh.core.properties.List` ( :class:`~bokeh.core.properties.Any`  )):\n",
      "            An optional list of arbitrary, user-supplied values to attach to this\n",
      "            model.\n",
      "        \n",
      "            This data can be useful when querying the document to retrieve specific\n",
      "            Bokeh models:\n",
      "        \n",
      "            .. code:: python\n",
      "        \n",
      "                >>> r = plot.circle([1,2,3], [4,5,6])\n",
      "                >>> r.tags = [\"foo\", 10]\n",
      "                >>> plot.select(tags=['foo', 10])\n",
      "                [GlyphRenderer(id='1de4c3df-a83d-480a-899b-fb263d3d5dd9', ...)]\n",
      "        \n",
      "            Or simply a convenient way to attach any necessary metadata to a model\n",
      "            that can be accessed by ``CustomJS`` callbacks, etc.\n",
      "        \n",
      "            .. note::\n",
      "                No uniqueness guarantees or other conditions are enforced on any tags\n",
      "                that are provided, nor are the tags used directly by Bokeh for any\n",
      "                reason.\n",
      "    \n",
      "            (default: [])\n",
      "    \n",
      "    \n",
      "    \n",
      "    Other Parameters:\n",
      "        alpha (float, optional) :\n",
      "            An alias to set all alpha keyword arguments at once. (default: None)\n",
      "    \n",
      "            Alpha values must be between 0 (fully transparent) and 1 (fully opaque).\n",
      "    \n",
      "            Any explicitly set values for ``line_alpha``, etc. will override this\n",
      "            setting.\n",
      "    \n",
      "        color (Color, optional) :\n",
      "            An alias to set all color keyword arguments at once. (default: None)\n",
      "    \n",
      "            Acceptable values for colors are described in the `Specifying Colors`_\n",
      "            section of the User's Guide.\n",
      "    \n",
      "            Any explicitly set values for ``line_color``, etc. will override this\n",
      "            setting.\n",
      "    \n",
      "            .. _Specifying Colors: https://docs.bokeh.org/en/latest/docs/user_guide/styling.html#specifying-colors\n",
      "    \n",
      "        legend_field (str, optional) :\n",
      "            Specify that the glyph should produce multiple legend entried by\n",
      "            `Grouping in the Browser`_. The value of this parameter is the name of a\n",
      "            column in the data source that should be used or the grouping.\n",
      "    \n",
      "            The grouping is performed *in JavaScript*, at the time time the Bokeh\n",
      "            content is rendered in the browser. If the data is subsequently updated,\n",
      "            the legend will automatically re-group.\n",
      "    \n",
      "            .. note::\n",
      "                Only one of ``legend_field``, ``legend_group``, or ``legend_label``\n",
      "                should be supplied\n",
      "    \n",
      "            .. _Grouping in the Browser: https://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#automatic-grouping-browser\n",
      "    \n",
      "        legend_group (str, optional) :\n",
      "            Specify that the glyph should produce multiple legend entried by\n",
      "            `Grouping in Python`_. The value of this parameter is the name of a\n",
      "            column in the data source that should be used or the grouping.\n",
      "    \n",
      "            The grouping is performed in Python, before the Bokeh output is sent to\n",
      "            a browser. If the date is subsequently updated, the legend will *not*\n",
      "            automatically re-group.\n",
      "    \n",
      "            .. note::\n",
      "                Only one of ``legend_field``, ``legend_group``, or ``legend_label``\n",
      "                should be supplied\n",
      "    \n",
      "            .. _Grouping in Python: https://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#automatic-grouping-python\n",
      "    \n",
      "        legend_label (str, optional) :\n",
      "            Specify that the glyph should produce a single `Basic Legend Label`_ in\n",
      "            the legend. The legend entry is labeled with exactly the text supplied\n",
      "            here.\n",
      "    \n",
      "            .. note::\n",
      "                Only one of ``legend_field``, ``legend_group``, or ``legend_label``\n",
      "                should be supplied\n",
      "    \n",
      "            .. _Basic Legend Label: https://docs.bokeh.org/en/latest/docs/user_guide/annotations.html#basic-legend-label\n",
      "    \n",
      "        muted (bool, optionall) :\n",
      "            Whether the glyph should be rendered as muted (default: False)\n",
      "    \n",
      "            For this to be useful, an ``muted_glyph`` must be configured on the\n",
      "            returned ``GlyphRender``. This can be done by explicitly creating a\n",
      "            ``Glyph`` to use, or more simply by passing e.g. ``muted_color``, etc.\n",
      "            to this glyph function.\n",
      "    \n",
      "        name (str, optional) :\n",
      "            An optional user-supplied name to attach to the renderer (default: None)\n",
      "    \n",
      "            Bokeh does not use this value in any way, but it may be useful for\n",
      "            searching a Bokeh document to find a specific model.\n",
      "    \n",
      "        source (ColumnDataSource, optional) :\n",
      "            A user-supplied data source. (defatult: None)\n",
      "    \n",
      "            If not supplied, Bokeh will automatically construct an internal\n",
      "            ``ColumnDataSource`` with default column names from the coordinates and\n",
      "            other arguments that were passed-in as literal list or array values.\n",
      "    \n",
      "            If supplied, Bokeh will use the supplied data source to drive the glyph.\n",
      "            In this case, literal list or arrays may not be used for coordinates or\n",
      "            other arguments. Only singular fixed valued (e.g. ``x=10``) or column\n",
      "            names in the data souce (e.g. ``x=\"time\"``) are permitted.\n",
      "    \n",
      "        view (CDSView, optional) :\n",
      "            A view for filtering the data source. (default: None)\n",
      "    \n",
      "        visible (bool, optional) :\n",
      "            Whether the glyph should be rendered. (default: True)\n",
      "    \n",
      "        x_range_name (str, optional) :\n",
      "            The name of an extra range to use for mapping x-coordinates.\n",
      "            (default: None)\n",
      "    \n",
      "            If not supplied, then the default ``y_range`` of the plot will be used\n",
      "            for coordinate mapping.\n",
      "    \n",
      "        y_range_name (str, optional) :\n",
      "            The name of an extra range to use for mapping y-coordinates.\n",
      "            (default: None)\n",
      "    \n",
      "            If not supplied, then the default ``y_range`` of the plot will be used\n",
      "            for coordinate mapping.\n",
      "    \n",
      "        level (RenderLevel, optional) :\n",
      "            Specify the render level order for this glyph.\n",
      "    \n",
      "    \n",
      "    \n",
      "    It is also possible to set the color and alpha parameters of extra glyphs for\n",
      "    selection, nonselection, hover, or muted. To do so, add the relevane prefix to\n",
      "    any visual parameter. For example, pass ``nonselection_alpha`` to set the line\n",
      "    and fill alpha for nonselect, or ``hover_fill_alpha`` to set the fill alpha for\n",
      "    hover. See the `Glyphs`_ section od the User's Guide for full details.\n",
      "    \n",
      "    .. _Glyphs: https://docs.bokeh.org/en/latest/docs/user_guide/styling.html#glyphs\n",
      "    \n",
      "    Returns:\n",
      "        :class:`~bokeh.models.renderers.GlyphRenderer`\n",
      "    \n",
      "    \n",
      "    Examples:\n",
      "    \n",
      "        .. bokeh-plot::\n",
      "            :source-position: above\n",
      "    \n",
      "            from bokeh.plotting import figure, output_file, show\n",
      "    \n",
      "            plot = figure(plot_width=300, plot_height=300)\n",
      "            plot.vbar(x=[1, 2, 3], width=0.5, bottom=0, top=[1,2,3], color=\"#CAB2D6\")\n",
      "    \n",
      "            show(plot)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(p.vbar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 查询参数\n",
    "?? p.hbar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 水平柱状图\n",
    " | 绘制方法 hbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"037e548d-1856-469d-a137-ecf592e8b7a4\" data-root-id=\"1101\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"12ba45ab-476a-403c-8047-0aba4b2e463a\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1110\"}],\"center\":[{\"id\":\"1113\"},{\"id\":\"1117\"}],\"left\":[{\"id\":\"1114\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"1135\"}],\"title\":{\"id\":\"1146\"},\"toolbar\":{\"id\":\"1125\"},\"x_range\":{\"id\":\"1102\"},\"x_scale\":{\"id\":\"1106\"},\"y_range\":{\"id\":\"1104\"},\"y_scale\":{\"id\":\"1108\"}},\"id\":\"1101\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1122\",\"type\":\"ResetTool\"},{\"attributes\":{\"fill_color\":{\"value\":\"blue\"},\"height\":{\"value\":0.5},\"line_color\":{\"value\":\"blue\"},\"right\":{\"field\":\"right\"},\"y\":{\"field\":\"y\"}},\"id\":\"1133\",\"type\":\"HBar\"},{\"attributes\":{\"source\":{\"id\":\"1132\"}},\"id\":\"1136\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1115\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1153\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"formatter\":{\"id\":\"1148\"},\"ticker\":{\"id\":\"1111\"}},\"id\":\"1110\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1108\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis\":{\"id\":\"1110\"},\"ticker\":null},\"id\":\"1113\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1152\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1123\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1118\",\"type\":\"PanTool\"},{\"attributes\":{\"data\":{\"right\":[2.3,4.2,5.6],\"y\":[1,3,5]},\"selected\":{\"id\":\"1152\"},\"selection_policy\":{\"id\":\"1153\"}},\"id\":\"1132\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1148\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1102\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis\":{\"id\":\"1114\"},\"dimension\":1,\"ticker\":null},\"id\":\"1117\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1118\"},{\"id\":\"1119\"},{\"id\":\"1120\"},{\"id\":\"1121\"},{\"id\":\"1122\"},{\"id\":\"1123\"}]},\"id\":\"1125\",\"type\":\"Toolbar\"},{\"attributes\":{\"overlay\":{\"id\":\"1124\"}},\"id\":\"1120\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"blue\"},\"height\":{\"value\":0.5},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"blue\"},\"right\":{\"field\":\"right\"},\"y\":{\"field\":\"y\"}},\"id\":\"1134\",\"type\":\"HBar\"},{\"attributes\":{},\"id\":\"1119\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1150\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"formatter\":{\"id\":\"1150\"},\"ticker\":{\"id\":\"1115\"}},\"id\":\"1114\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1121\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1111\",\"type\":\"BasicTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1124\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1146\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1106\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1104\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"1132\"},\"glyph\":{\"id\":\"1133\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1134\"},\"selection_glyph\":null,\"view\":{\"id\":\"1136\"}},\"id\":\"1135\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"1101\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
       "  var render_items = [{\"docid\":\"12ba45ab-476a-403c-8047-0aba4b2e463a\",\"root_ids\":[\"1101\"],\"roots\":{\"1101\":\"037e548d-1856-469d-a137-ecf592e8b7a4\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1101"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = figure(plot_width=400,plot_height=400)\n",
    "p.hbar(\n",
    "    y=[1,3,5],\n",
    "    height=0.5, #柱子的宽\n",
    "    left=0,\n",
    "    right=[2.3,4.2,5.6],\n",
    "    color=\"blue\"\n",
    ")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 案例01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "for i in range(6):\n",
    "    print(i)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"cadb918f-3865-4930-a74a-2f7f1fc4800b\" data-root-id=\"1210\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"29ec25aa-bece-4db2-93ad-8c01165d6368\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1221\"}],\"center\":[{\"id\":\"1223\"},{\"id\":\"1227\"}],\"left\":[{\"id\":\"1224\"}],\"plot_height\":350,\"renderers\":[{\"id\":\"1247\"}],\"title\":{\"id\":\"1211\"},\"toolbar\":{\"id\":\"1236\"},\"x_range\":{\"id\":\"1213\"},\"x_scale\":{\"id\":\"1217\"},\"y_range\":{\"id\":\"1215\"},\"y_scale\":{\"id\":\"1219\"}},\"id\":\"1210\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1219\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1233\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1273\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1217\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"factors\":[\"Apples\",\"Pears\",\"Nectarines\",\"Plums\",\"Grapes\",\"Strawberries\"]},\"id\":\"1213\",\"type\":\"FactorRange\"},{\"attributes\":{},\"id\":\"1222\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"start\":0},\"id\":\"1215\",\"type\":\"DataRange1d\"},{\"attributes\":{\"axis\":{\"id\":\"1224\"},\"dimension\":1,\"ticker\":null},\"id\":\"1227\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1270\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_color\":{\"value\":\"navy\"},\"line_color\":{\"value\":\"navy\"},\"top\":{\"field\":\"counts\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"1245\",\"type\":\"VBar\"},{\"attributes\":{\"data\":{\"counts\":[5,3,4,2,4,6],\"x\":[\"Apples\",\"Pears\",\"Nectarines\",\"Plums\",\"Grapes\",\"Strawberries\"]},\"selected\":{\"id\":\"1272\"},\"selection_policy\":{\"id\":\"1273\"}},\"id\":\"1209\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"1268\"},\"ticker\":{\"id\":\"1222\"}},\"id\":\"1221\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"text\":\"fruits counts\"},\"id\":\"1211\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1229\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"count\",\"@counts\"]]},\"id\":\"1235\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1225\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1228\",\"type\":\"PanTool\"},{\"attributes\":{\"data_source\":{\"id\":\"1209\"},\"glyph\":{\"id\":\"1245\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1246\"},\"selection_glyph\":null,\"view\":{\"id\":\"1248\"}},\"id\":\"1247\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1234\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1232\",\"type\":\"ResetTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"navy\"},\"top\":{\"field\":\"counts\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"1246\",\"type\":\"VBar\"},{\"attributes\":{\"source\":{\"id\":\"1209\"}},\"id\":\"1248\",\"type\":\"CDSView\"},{\"attributes\":{\"overlay\":{\"id\":\"1234\"}},\"id\":\"1230\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"formatter\":{\"id\":\"1270\"},\"ticker\":{\"id\":\"1225\"}},\"id\":\"1224\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1228\"},{\"id\":\"1229\"},{\"id\":\"1230\"},{\"id\":\"1231\"},{\"id\":\"1232\"},{\"id\":\"1233\"},{\"id\":\"1235\"}]},\"id\":\"1236\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis\":{\"id\":\"1221\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1223\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1272\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1268\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{},\"id\":\"1231\",\"type\":\"SaveTool\"}],\"root_ids\":[\"1210\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
       "  var render_items = [{\"docid\":\"29ec25aa-bece-4db2-93ad-8c01165d6368\",\"root_ids\":[\"1210\"],\"roots\":{\"1210\":\"cadb918f-3865-4930-a74a-2f7f1fc4800b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1210"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 调用数据\n",
    "from bokeh.models import ColumnDataSource\n",
    "\n",
    "\n",
    "# 数据准备（名称和值）\n",
    "fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']\n",
    "counts = [5, 3, 4, 2, 4, 6]\n",
    "\n",
    "\n",
    "# 数据源准备\n",
    "source = ColumnDataSource(\n",
    "    data=dict(\n",
    "    x=fruits,\n",
    "    counts=counts))\n",
    "\n",
    "TOOLTIPS=[(\"count\",\"@counts\")]\n",
    "\n",
    "# 画布\n",
    "p = figure(\n",
    "    x_range=fruits,\n",
    "    plot_height=350,\n",
    "    title=\"fruits counts\",\n",
    "    tooltips=TOOLTIPS\n",
    "    \n",
    "    )\n",
    "\n",
    "# 绘制\n",
    "p.vbar(\n",
    "    x='x',top='counts',width=0.5,color=\"navy\",source=source)\n",
    "\n",
    "p.y_range.start = 0  # 让图的底部没有空隙\n",
    "p.xgrid.grid_line_color = None  # 去掉x方向的横线\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using data directory: C:\\Users\\sxt\\.bokeh\\data\n",
      "Skipping 'CGM.csv' (checksum match)\n",
      "Skipping 'US_Counties.zip' (checksum match)\n",
      "Skipping 'us_cities.json' (checksum match)\n",
      "Skipping 'unemployment09.csv' (checksum match)\n",
      "Skipping 'AAPL.csv' (checksum match)\n",
      "Skipping 'FB.csv' (checksum match)\n",
      "Skipping 'GOOG.csv' (checksum match)\n",
      "Skipping 'IBM.csv' (checksum match)\n",
      "Skipping 'MSFT.csv' (checksum match)\n",
      "Skipping 'WPP2012_SA_DB03_POPULATION_QUINQUENNIAL.zip' (checksum match)\n",
      "Skipping 'gapminder_fertility.csv' (checksum match)\n",
      "Skipping 'gapminder_population.csv' (checksum match)\n",
      "Skipping 'gapminder_life_expectancy.csv' (checksum match)\n",
      "Skipping 'gapminder_regions.csv' (checksum match)\n",
      "Skipping 'world_cities.zip' (checksum match)\n",
      "Skipping 'airports.json' (checksum match)\n",
      "Skipping 'movies.db.zip' (checksum match)\n",
      "Skipping 'airports.csv' (checksum match)\n",
      "Skipping 'routes.csv' (checksum match)\n",
      "Skipping 'haarcascade_frontalface_default.xml' (checksum match)\n"
     ]
    }
   ],
   "source": [
    "import bokeh\n",
    "bokeh.sampledata.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Visualization_tools</th>\n",
       "      <th>Watch</th>\n",
       "      <th>Star</th>\n",
       "      <th>Fork</th>\n",
       "      <th>Commits</th>\n",
       "      <th>Contributors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>matplotlib</td>\n",
       "      <td>533</td>\n",
       "      <td>9678</td>\n",
       "      <td>4143</td>\n",
       "      <td>29503</td>\n",
       "      <td>808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bokeh</td>\n",
       "      <td>396</td>\n",
       "      <td>11034</td>\n",
       "      <td>2526</td>\n",
       "      <td>17673</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pyecharts</td>\n",
       "      <td>263</td>\n",
       "      <td>5387</td>\n",
       "      <td>1148</td>\n",
       "      <td>1321</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>seaborn</td>\n",
       "      <td>234</td>\n",
       "      <td>6038</td>\n",
       "      <td>970</td>\n",
       "      <td>2316</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>plotly</td>\n",
       "      <td>234</td>\n",
       "      <td>4928</td>\n",
       "      <td>1114</td>\n",
       "      <td>3370</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ggplot2</td>\n",
       "      <td>329</td>\n",
       "      <td>3783</td>\n",
       "      <td>1427</td>\n",
       "      <td>4286</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Visualization_tools  Watch   Star  Fork  Commits  Contributors\n",
       "0          matplotlib    533   9678  4143    29503           808\n",
       "1               bokeh    396  11034  2526    17673           357\n",
       "2           pyecharts    263   5387  1148     1321            18\n",
       "3             seaborn    234   6038   970     2316            98\n",
       "4              plotly    234   4928  1114     3370            76\n",
       "5             ggplot2    329   3783  1427     4286           184"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource, FactorRange\n",
    "from bokeh.palettes import Spectral6\n",
    "import pandas as pd\n",
    "df=pd.read_csv('data/visualization-20190505.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     9678\n",
       "1    11034\n",
       "2     5387\n",
       "3     6038\n",
       "4     4928\n",
       "5     3783\n",
       "Name: Star, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Star']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    matplotlib\n",
       "1         bokeh\n",
       "2     pyecharts\n",
       "3       seaborn\n",
       "4        plotly\n",
       "5       ggplot2\n",
       "Name: Visualization_tools, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Visualization_tools']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: 'legend' keyword is deprecated, use explicit 'legend_label', 'legend_field', or 'legend_group' keywords instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"db2c0488-3707-4f94-872a-868dec7ac4bb\" data-root-id=\"1003\"></div>\n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"476e8332-6dee-45d4-800d-948284b066b9\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1014\"}],\"center\":[{\"id\":\"1016\"},{\"id\":\"1020\"},{\"id\":\"1050\"}],\"left\":[{\"id\":\"1017\"}],\"plot_height\":350,\"renderers\":[{\"id\":\"1040\"}],\"title\":{\"id\":\"1004\"},\"toolbar\":{\"id\":\"1029\"},\"x_range\":{\"id\":\"1006\"},\"x_scale\":{\"id\":\"1010\"},\"y_range\":{\"id\":\"1008\"},\"y_scale\":{\"id\":\"1012\"}},\"id\":\"1003\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"1002\"}},\"id\":\"1041\",\"type\":\"CDSView\"},{\"attributes\":{\"data\":{\"color\":[\"#3288bd\",\"#99d594\",\"#e6f598\",\"#fee08b\",\"#fc8d59\",\"#d53e4f\"],\"star_counts\":[9678,11034,5387,6038,4928,3783],\"tools\":[\"matplotlib\",\"bokeh\",\"pyecharts\",\"seaborn\",\"plotly\",\"ggplot2\"]},\"selected\":{\"id\":\"1048\"},\"selection_policy\":{\"id\":\"1047\"}},\"id\":\"1002\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"text\":\"2019\\u5e74\\u53ef\\u89c6\\u5316\\u5de5\\u5177\"},\"id\":\"1004\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"\\u5de5\\u5177\",\"formatter\":{\"id\":\"1044\"},\"ticker\":{\"id\":\"1015\"}},\"id\":\"1014\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"HelpTool\"},{\"attributes\":{\"fill_color\":{\"field\":\"color\"},\"line_color\":{\"field\":\"color\"},\"top\":{\"field\":\"star_counts\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"tools\"}},\"id\":\"1038\",\"type\":\"VBar\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1044\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"items\":[{\"id\":\"1051\"}],\"location\":\"top_center\",\"orientation\":\"horizontal\"},\"id\":\"1050\",\"type\":\"Legend\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"},{\"id\":\"1026\"},{\"id\":\"1028\"}]},\"id\":\"1029\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"PanTool\"},{\"attributes\":{\"factors\":[\"matplotlib\",\"bokeh\",\"pyecharts\",\"seaborn\",\"plotly\",\"ggplot2\"]},\"id\":\"1006\",\"type\":\"FactorRange\"},{\"attributes\":{\"overlay\":{\"id\":\"1027\"}},\"id\":\"1023\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"SaveTool\"},{\"attributes\":{\"label\":{\"field\":\"tools\"},\"renderers\":[{\"id\":\"1040\"}]},\"id\":\"1051\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"ResetTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"color\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"field\":\"color\"},\"top\":{\"field\":\"star_counts\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"tools\"}},\"id\":\"1039\",\"type\":\"VBar\"},{\"attributes\":{\"axis\":{\"id\":\"1017\"},\"dimension\":1,\"ticker\":null},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"1046\"},\"ticker\":{\"id\":\"1018\"}},\"id\":\"1017\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis\":{\"id\":\"1014\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1016\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"1002\"},\"glyph\":{\"id\":\"1038\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1039\"},\"selection_glyph\":null,\"view\":{\"id\":\"1041\"}},\"id\":\"1040\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1047\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"end\":14000,\"start\":0},\"id\":\"1008\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1015\",\"type\":\"CategoricalTicker\"},{\"attributes\":{},\"id\":\"1010\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"1048\",\"type\":\"Selection\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1027\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"star\",\"@star_counts\"],[\"tools\",\"@tools\"]]},\"id\":\"1028\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1018\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
       "  var render_items = [{\"docid\":\"476e8332-6dee-45d4-800d-948284b066b9\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"db2c0488-3707-4f94-872a-868dec7ac4bb\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1003"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "source = ColumnDataSource(\n",
    "    data=dict(\n",
    "    tools=df['Visualization_tools'],\n",
    "    star_counts=df['Star'],\n",
    "    color=Spectral6)  # 调用调色板的数据也要存进数据源里面\n",
    ")\n",
    "\n",
    "TOOLTIPS=[(\"star\",\"@star_counts\"),\n",
    "         (\"tools\",\"@tools\")]\n",
    "\n",
    "# 画布\n",
    "p = figure(\n",
    "    x_range=df['Visualization_tools'],\n",
    "    plot_height=350,\n",
    "    title=\"2019年可视化工具\",\n",
    "    tooltips=TOOLTIPS)\n",
    "\n",
    "# 绘制\n",
    "p.vbar(\n",
    "    x='tools',top='star_counts',width=0.5,color='color',source=source,legend='tools')\n",
    "\n",
    "p.y_range.start = 0  # 让图的底部没有空隙\n",
    "p.xgrid.grid_line_color = None  # 去掉x方向的横线\n",
    "p.legend.location='top_center'\n",
    "p.legend.orientation = 'horizontal'\n",
    "p.y_range.end = 14000\n",
    "p.xaxis.axis_label = \"工具\"\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 课后实验，做上面案例的分组柱状图  Star  Commits Contributors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"f2737dd5-b9db-4e2f-a669-16ef7cd7b1bd\" data-root-id=\"1110\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"0ff8f581-3cc5-4d24-a5ba-ade303ac0e52\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1120\"}],\"center\":[{\"id\":\"1122\"},{\"id\":\"1126\"}],\"left\":[{\"id\":\"1123\"}],\"plot_height\":350,\"renderers\":[{\"id\":\"1147\"}],\"title\":{\"id\":\"1111\"},\"toolbar\":{\"id\":\"1135\"},\"x_range\":{\"id\":\"1109\"},\"x_scale\":{\"id\":\"1116\"},\"y_range\":{\"id\":\"1114\"},\"y_scale\":{\"id\":\"1118\"}},\"id\":\"1110\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1121\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"factors\":[[\"matplotlib\",\"star\"],[\"matplotlib\",\"fork\"],[\"matplotlib\",\"contributors\"],[\"bokeh\",\"star\"],[\"bokeh\",\"fork\"],[\"bokeh\",\"contributors\"],[\"pyecharts\",\"star\"],[\"pyecharts\",\"fork\"],[\"pyecharts\",\"contributors\"],[\"seaborn\",\"star\"],[\"seaborn\",\"fork\"],[\"seaborn\",\"contributors\"],[\"plotly\",\"star\"],[\"plotly\",\"fork\"],[\"plotly\",\"contributors\"],[\"ggplot2\",\"star\"],[\"ggplot2\",\"fork\"],[\"ggplot2\",\"contributors\"]],\"range_padding\":0.1},\"id\":\"1109\",\"type\":\"FactorRange\"},{\"attributes\":{},\"id\":\"1118\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1159\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"fill_color\":{\"field\":\"x\",\"transform\":{\"id\":\"1143\"}},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"he\"},\"width\":{\"value\":0.9},\"x\":{\"field\":\"x\"}},\"id\":\"1145\",\"type\":\"VBar\"},{\"attributes\":{},\"id\":\"1161\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1127\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1131\",\"type\":\"ResetTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"x\",\"transform\":{\"id\":\"1143\"}},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"he\"},\"width\":{\"value\":0.9},\"x\":{\"field\":\"x\"}},\"id\":\"1146\",\"type\":\"VBar\"},{\"attributes\":{},\"id\":\"1132\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1116\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"1128\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1130\",\"type\":\"SaveTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1133\"}},\"id\":\"1129\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"source\":{\"id\":\"1108\"}},\"id\":\"1148\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"tools in counts\"},\"id\":\"1111\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"1108\"},\"glyph\":{\"id\":\"1145\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1146\"},\"selection_glyph\":null,\"view\":{\"id\":\"1148\"}},\"id\":\"1147\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"start\":0},\"id\":\"1114\",\"type\":\"DataRange1d\"},{\"attributes\":{\"end\":2,\"factors\":[\"star\",\"fork\",\"contributors\"],\"palette\":[\"#c9d9d3\",\"#718dbf\",\"#e84d60\"],\"start\":1},\"id\":\"1143\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{},\"id\":\"1124\",\"type\":\"BasicTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1133\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"axis\":{\"id\":\"1123\"},\"dimension\":1,\"ticker\":null},\"id\":\"1126\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1127\"},{\"id\":\"1128\"},{\"id\":\"1129\"},{\"id\":\"1130\"},{\"id\":\"1131\"},{\"id\":\"1132\"},{\"id\":\"1134\"}]},\"id\":\"1135\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"tool\",\"@x\"],[\"count\",\"@he\"]]},\"id\":\"1134\",\"type\":\"HoverTool\"},{\"attributes\":{\"formatter\":{\"id\":\"1159\"},\"major_label_orientation\":1,\"ticker\":{\"id\":\"1121\"}},\"id\":\"1120\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"1161\"},\"ticker\":{\"id\":\"1124\"}},\"id\":\"1123\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data\":{\"he\":[9678,4143,808,11034,2526,357,5387,1148,18,6038,970,98,4928,1114,76,3783,1427,184],\"x\":[[\"matplotlib\",\"star\"],[\"matplotlib\",\"fork\"],[\"matplotlib\",\"contributors\"],[\"bokeh\",\"star\"],[\"bokeh\",\"fork\"],[\"bokeh\",\"contributors\"],[\"pyecharts\",\"star\"],[\"pyecharts\",\"fork\"],[\"pyecharts\",\"contributors\"],[\"seaborn\",\"star\"],[\"seaborn\",\"fork\"],[\"seaborn\",\"contributors\"],[\"plotly\",\"star\"],[\"plotly\",\"fork\"],[\"plotly\",\"contributors\"],[\"ggplot2\",\"star\"],[\"ggplot2\",\"fork\"],[\"ggplot2\",\"contributors\"]]},\"selected\":{\"id\":\"1163\"},\"selection_policy\":{\"id\":\"1162\"}},\"id\":\"1108\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1162\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1163\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1120\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1122\",\"type\":\"Grid\"}],\"root_ids\":[\"1110\"]},\"title\":\"Bokeh Application\",\"version\":\"2.1.1\"}};\n",
       "  var render_items = [{\"docid\":\"0ff8f581-3cc5-4d24-a5ba-ade303ac0e52\",\"root_ids\":[\"1110\"],\"roots\":{\"1110\":\"f2737dd5-b9db-4e2f-a669-16ef7cd7b1bd\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1110"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.transform import factor_cmap\n",
    "from bokeh.palettes import Spectral5\n",
    "\n",
    "\n",
    "# 准备数据\n",
    "tools = df['Visualization_tools']\n",
    "counts = ['star','fork','contributors']\n",
    "data = {'tools':tools,\n",
    "        'star':df['Star'],\n",
    "        'fork':df['Fork'],\n",
    "        'contributors':df['Contributors']}\n",
    "\n",
    "\n",
    "palette = [\"#c9d9d3\", \"#718dbf\", \"#e84d60\"]\n",
    "\n",
    "\n",
    "# 交互可视化\n",
    "TOOLTIPS=[(\"tool\",\"@x\"),\n",
    "          (\"count\",\"@he\")]\n",
    "\n",
    "x = [(tool,count) for tool in tools for count in counts ]\n",
    "\n",
    "he = sum(zip(data['star'],data['fork'],data['contributors']), ())  # 分组求和堆叠函数\n",
    "source = ColumnDataSource(data=dict(x=x, he=he))\n",
    "\n",
    "# 画布\n",
    "p = figure(x_range=FactorRange(*x), plot_height=350, title=\"tools in counts\",tooltips=TOOLTIPS)\n",
    "\n",
    "# 绘图\n",
    "p.vbar(x='x',top='he',width=0.9,source=source,line_color=\"white\",\n",
    "       fill_color=factor_cmap('x', palette=palette, factors=counts, start=1, end=2))\n",
    "p.y_range.start = 0\n",
    "# p.y_range.end = 1400\n",
    "p.x_range.range_padding = 0.1\n",
    "\n",
    "p.xaxis.major_label_orientation = 1\n",
    "p.xgrid.grid_line_color = None  # 取消x轴的网格线\n",
    "# 显示\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Visualization_tools</th>\n",
       "      <th>Watch</th>\n",
       "      <th>Star</th>\n",
       "      <th>Fork</th>\n",
       "      <th>Commits</th>\n",
       "      <th>Contributors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>matplotlib</td>\n",
       "      <td>533</td>\n",
       "      <td>9678</td>\n",
       "      <td>4143</td>\n",
       "      <td>29503</td>\n",
       "      <td>808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bokeh</td>\n",
       "      <td>396</td>\n",
       "      <td>11034</td>\n",
       "      <td>2526</td>\n",
       "      <td>17673</td>\n",
       "      <td>357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pyecharts</td>\n",
       "      <td>263</td>\n",
       "      <td>5387</td>\n",
       "      <td>1148</td>\n",
       "      <td>1321</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>seaborn</td>\n",
       "      <td>234</td>\n",
       "      <td>6038</td>\n",
       "      <td>970</td>\n",
       "      <td>2316</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>plotly</td>\n",
       "      <td>234</td>\n",
       "      <td>4928</td>\n",
       "      <td>1114</td>\n",
       "      <td>3370</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ggplot2</td>\n",
       "      <td>329</td>\n",
       "      <td>3783</td>\n",
       "      <td>1427</td>\n",
       "      <td>4286</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Visualization_tools  Watch   Star  Fork  Commits  Contributors\n",
       "0          matplotlib    533   9678  4143    29503           808\n",
       "1               bokeh    396  11034  2526    17673           357\n",
       "2           pyecharts    263   5387  1148     1321            18\n",
       "3             seaborn    234   6038   970     2316            98\n",
       "4              plotly    234   4928  1114     3370            76\n",
       "5             ggplot2    329   3783  1427     4286           184"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Visualization_tools', 'Watch', 'Star', 'Fork', 'Commits',\n",
       "       'Contributors'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Visualization_tools', 'Watch', 'Star', 'Fork', 'Commits', 'Contributors']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Star', 'Commits', 'Contributors']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vis_tools_category = [df.columns.tolist()[2],df.columns.tolist()[4],df.columns.tolist()[5]]\n",
    "vis_tools_category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    matplotlib\n",
       "1         bokeh\n",
       "2     pyecharts\n",
       "3       seaborn\n",
       "4        plotly\n",
       "5       ggplot2\n",
       "Name: Visualization_tools, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 一级数据准备\n",
    "\n",
    "df['Visualization_tools']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 列表的推导式准备  多级数据\n",
    "\n",
    "x = [(tool,category) for tool in df['Visualization_tools'] for category in vis_tools_category]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('matplotlib', 'Star'),\n",
       " ('matplotlib', 'Commits'),\n",
       " ('matplotlib', 'Contributors'),\n",
       " ('bokeh', 'Star'),\n",
       " ('bokeh', 'Commits'),\n",
       " ('bokeh', 'Contributors'),\n",
       " ('pyecharts', 'Star'),\n",
       " ('pyecharts', 'Commits'),\n",
       " ('pyecharts', 'Contributors'),\n",
       " ('seaborn', 'Star'),\n",
       " ('seaborn', 'Commits'),\n",
       " ('seaborn', 'Contributors'),\n",
       " ('plotly', 'Star'),\n",
       " ('plotly', 'Commits'),\n",
       " ('plotly', 'Contributors'),\n",
       " ('ggplot2', 'Star'),\n",
       " ('ggplot2', 'Commits'),\n",
       " ('ggplot2', 'Contributors')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 准备Y轴数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['star', 'fork', 'contributors']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<zip at 0x25fc6afebc0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip(df['Star'],df['Fork'],df['Contributors'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "y= sum(zip(df['Star'],df['Fork'],df['Contributors']),())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据准备"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('#99d594', '#ffffbf', '#fc8d59')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bokeh.palettes import Spectral3\n",
    "Spectral3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'vis_tools_categroy' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-28-87416f97c32b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     20\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     21\u001b[0m p.vbar(x='x_axis',top=\"y_counts\",width=0.8,source=source,\n\u001b[1;32m---> 22\u001b[1;33m       fill_color=factor_cmap('x_axis', palette=color, factors=vis_tools_categroy, start=1, end=2))\n\u001b[0m\u001b[0;32m     23\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0my_range\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstart\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mx_range\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrange_padding\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0.1\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'vis_tools_categroy' is not defined"
     ]
    }
   ],
   "source": [
    "from bokeh.transform import factor_cmap\n",
    "from bokeh.palettes import Spectral3\n",
    "\n",
    "source  = ColumnDataSource(\n",
    "    data = dict(\n",
    "    x_axis = x,\n",
    "    y_counts = y))\n",
    "    \n",
    "\n",
    "color = Spectral3\n",
    "# 交互可视化\n",
    "TOOLTIPS=[(\"tool\",\"@x_axis\"),\n",
    "          (\"count\",\"@y_counts\")]\n",
    "\n",
    "# 绘制\n",
    "p = figure(\n",
    "    x_range=FactorRange(*x),\n",
    "    plot_height=350,\n",
    "    title=\"可视化工具在guthub使用数据\")\n",
    "\n",
    "p.vbar(x='x_axis',top=\"y_counts\",width=0.8,source=source,\n",
    "      fill_color=factor_cmap('x_axis', palette=color, factors=vis_tools_categroy, start=1, end=2))\n",
    "p.y_range.start = 0\n",
    "p.x_range.range_padding = 0.1\n",
    "p.xaxis.major_label_orientation = 1\n",
    "\n",
    "show(p)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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